| Package | Description |
|---|---|
| dragon.nlp | |
| dragon.nlp.extract |
| Modifier and Type | Class and Description |
|---|---|
class |
Phrase
Data structure for phrase
|
class |
Term
Term is designed for Universal Medical Langauge System (UMLS) medical concept
that can stores n-grams and its semantic and statistical information
|
class |
Token
Token is a cute unit data structure for handling nlp task or other operations
|
| Modifier and Type | Method and Description |
|---|---|
Concept |
Token.copy() |
Concept |
Term.copy() |
Concept |
Phrase.copy() |
Concept |
Concept.copy() |
Concept |
Word.getAssociatedConcept() |
Concept |
Triple.getFirstConcept() |
Concept |
Triple.getSecondConcept() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
Token.equalTo(Concept concept) |
boolean |
Term.equalTo(Concept concept) |
boolean |
Phrase.equalTo(Concept concept) |
boolean |
Concept.equalTo(Concept concept) |
void |
Word.setAssociatedConcept(Concept concept) |
| Constructor and Description |
|---|
Triple(Concept first,
Concept second) |
| Modifier and Type | Method and Description |
|---|---|
protected boolean |
AbstractTripleExtractor.checkCoordinateTerms(Concept first,
Concept second) |
boolean |
ConceptFilter.keep(Concept concept)
Tests if the specified concept object should be kept
|
boolean |
BasicConceptFilter.keep(Concept concept) |
Copyright © 2018 JULIE Lab, Germany. All rights reserved.